Let All Be Whitened: Multi-Teacher Distillation for Efficient Visual Retrieval

Zhe Ma, Jianfeng Dong, Shouling Ji, Zhenguang Liu, Xuhong Zhang, Zonghui Wang, Sifeng He, Feng Qian, Xiaobo Zhang, Lei Yang

AAAI 2024 pp. 4126-4135

doi:10.1609/AAAI.V38I5.28207 /aaai/2024/ma2024aaai-let/

AAAI Semantic Scholar

Cite

Text

Ma et al. "Let All Be Whitened: Multi-Teacher Distillation for Efficient Visual Retrieval." AAAI Conference on Artificial Intelligence, 2024. doi:10.1609/AAAI.V38I5.28207

Markdown

[Ma et al. "Let All Be Whitened: Multi-Teacher Distillation for Efficient Visual Retrieval." AAAI Conference on Artificial Intelligence, 2024.](https://mlanthology.org/aaai/2024/ma2024aaai-let/) doi:10.1609/AAAI.V38I5.28207

BibTeX

@inproceedings{ma2024aaai-let,
  title     = {{Let All Be Whitened: Multi-Teacher Distillation for Efficient Visual Retrieval}},
  author    = {Ma, Zhe and Dong, Jianfeng and Ji, Shouling and Liu, Zhenguang and Zhang, Xuhong and Wang, Zonghui and He, Sifeng and Qian, Feng and Zhang, Xiaobo and Yang, Lei},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2024},
  pages     = {4126-4135},
  doi       = {10.1609/AAAI.V38I5.28207},
  url       = {https://mlanthology.org/aaai/2024/ma2024aaai-let/}
}